Bases de datos normativas en edad pediátrica para tomografía de coherencia óptica: una clara necesidad

Muñoz-Gallego, A.; Rodríguez‐Salgado, Martín; Cruz, Javier de la; López-López, Cristina; Cañas-Zamarra, Ignacio; Tejada-Palacios, P.

doi:10.1016/j.oftal.2019.08.003

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…Pediatric populations (< 18 years old) were not included in any normative database, making the assessment of severity/deviation from ‘normal’ difficult in pediatric populations and emphasizing the need for normative pediatric databases [ 21 , 44 ]. Elderly populations, which are the focus of studies evaluating dementia and Alzheimer’s disease, also are underrepresented in OCT normative databases [ 45 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

Fairness and generalizability of OCT normative databases: a comparative analysis

Nakayama,

Zago Ribeiro,

de Oliveira

et al. 2023

Int J Retin Vitr

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Purpose In supervised Machine Learning algorithms, labels and reports are important in model development. To provide a normality assessment, the OCT has an in-built normative database that provides a color base scale from the measurement database comparison. This article aims to evaluate and compare normative databases of different OCT machines, analyzing patient demographic, contrast inclusion and exclusion criteria, diversity index, and statistical approach to assess their fairness and generalizability. Methods Data were retrieved from Cirrus, Avanti, Spectralis, and Triton’s FDA-approval and equipment manual. The following variables were compared: number of eyes and patients, inclusion and exclusion criteria, statistical approach, sex, race and ethnicity, age, participant country, and diversity index. Results Avanti OCT has the largest normative database (640 eyes). In every database, the inclusion and exclusion criteria were similar, including adult patients and excluding pathological eyes. Spectralis has the largest White (79.7%) proportionately representation, Cirrus has the largest Asian (24%), and Triton has the largest Black (22%) patient representation. In all databases, the statistical analysis applied was Regression models. The sex diversity index is similar in all datasets, and comparable to the ten most populous contries. Avanti dataset has the highest diversity index in terms of race, followed by Cirrus, Triton, and Spectralis. Conclusion In all analyzed databases, the data framework is static, with limited upgrade options and lacking normative databases for new modules. As a result, caution in OCT normality interpretation is warranted. To address these limitations, there is a need for more diverse, representative, and open-access datasets that take into account patient demographics, especially considering the development of supervised Machine Learning algorithms in healthcare.

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Section: Discussionmentioning

confidence: 99%

Fairness and generalizability of OCT normative databases: a comparative analysis

Nakayama,

Zago Ribeiro,

de Oliveira

et al. 2023

Int J Retin Vitr

View full text Add to dashboard Cite

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Optical Coherence Tomography Can Predict Visual Acuity in Children with Optic Nerve Hypoplasia

Skriapa-Manta¹,

Nilsson²,

Svoboda³

et al. 2022

OPTH

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Optic nerve hypoplasia (ONH) is a common cause of visual impairment in children. Clinical complexity can cause diagnostic delay and difficulties predicting visual outcome. We evaluated whether optical coherence tomography (OCT) can improve the diagnosis and prediction of vision. Methods: Thirty-seven eyes with ONH from 12 girls and 8 boys, median age 10.5 years (range 2.8-18.9 years), were included in this cross-sectional cohort study. The majority, 17/20, had bilateral ONH. Ophthalmological assessments included best corrected visual acuity (BCVA), fundus photography, measurement of the peripapillary retinal nerve fibre layer (pRNFL), macular ganglion cell complex (GCC), Bruch's membrane opening (BMO) and visual fields. We compared OCT parameters with comparison data collected on 140 healthy individuals 5 to 25 years old. Pearson's correlation coefficient was used to determine the correlation of OCT parameters and BCVA. Results: OCT demonstrated thinner mean pRNFL (p < 0.001) and mean GCC compared to the reference material (p < 0.001). BCVA displayed a strong or moderate correlation to pRNFL and to all sectors of the GCC except the inferotemporal. BCVA correlated strongly to Bruch's membrane opening (BMO) (0.71, p < 0.001), and moderately to the Zeki ratio (−0.52, p < 0.001). Multivariate analyses showed that BMO explained 48% of the variance in BCVA. Visual fields correlated strongly to pRNFL and GCC thickness. GCC thinning corresponded to visual field defects presence and location. Conclusion: OCT can facilitate the diagnosis of ONH. Parameters such as pRNFL, GCC and BMO can be predictors of visual acuity whereas GCC and pRNFL thinning can indicate location and severity of visual field defects.

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Bases de datos normativas en edad pediátrica para tomografía de coherencia óptica: una clara necesidad

Cited by 2 publications

References 37 publications

Fairness and generalizability of OCT normative databases: a comparative analysis

Fairness and generalizability of OCT normative databases: a comparative analysis

Optical Coherence Tomography Can Predict Visual Acuity in Children with Optic Nerve Hypoplasia

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